Patentable/Patents/US-12056609
US-12056609

Gradient feedback framework for joint transceiver neural network training

PublishedAugust 6, 2024
Assigneenot available in USPTO data we have
Inventorsnot available in USPTO data we have
Technical Abstract

A method of wireless communication performed by a receiving device includes determining a transmission reference point value and determining a transmission reference point gradient of a loss based on the transmission reference point value. The receiving device also transmits a message comprising the transmission reference point gradient to a transmitting device. A method of wireless communication by a transmitting device includes receiving a transmission reference point gradient of a loss from a receiving device. The transmitting device determines a transmission point-payload gradient of a transmission reference point value with respect to an encoded value generated by a transmitter neural network. The transmitting device also determines a payload gradient of the loss based on a product of the transmission reference point gradient and the transmission point-payload gradient. The transmitting device further updates weights of the transmitter neural network based on the payload gradient.

Patent Claims
9 claims

Legal claims defining the scope of protection, as filed with the USPTO.

3

3. The method of claim 1, further comprising determining the transmission reference point gradient based on a product of the pilot measuring point gradient and the transmission point-pilot point gradient.

5

5. The method of claim 4, in which the reference point function is known by both the receiving device and the transmitting device.

6

6. The method of claim 1, further comprising compressing the transmission reference point gradient.

10

10. The apparatus of claim 8, wherein execution of the instructions further cause the apparatus to determine the transmission reference point gradient based on a product of the pilot measuring point gradient and the transmission point-pilot point gradient.

12

12. The apparatus of claim 11, in which the reference point function is known by both the receiving device and the transmitting device.

13

13. The apparatus of claim 8, wherein execution of the instructions further cause the apparatus to compress the transmission reference point gradient.

17

17. The receiving device of claim 15, further comprising means for determining the transmission reference point gradient based on a product of the pilot measuring point gradient and the transmission point-pilot point gradient.

19

19. The receiving device of claim 18, in which the reference point function is known by both the receiving device and the transmitting device.

20

20. The receiving device of claim 15, further comprising means for compressing the transmission reference point gradient.

Classification Codes (CPC)

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Patent Metadata

Filing Date

July 1, 2020

Publication Date

August 6, 2024

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Cite as: Patentable. “Gradient feedback framework for joint transceiver neural network training” (US-12056609). https://patentable.app/patents/US-12056609

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